Electric Drive Vehicle Model and Simulation with MATLAB

Abstract

In this manuscript an electric drive vehicle (EDV) is modeled in the MATLAB/Simulink environment. First the resistive forces acting on EDV during the longitudinal motion are computed analytically. Then the required engine power to propel the vehicle during motion or the regenerated power to charge the batteries during braking is calculated by using powertrain and engine parameters. Finally battery charge/discharge currents, battery charge/discharge powers and battery state of charge (SOC) values are obtained. The proposed vehicle model is simulated with three different drive cycles such as: UDDS (Urban Dynamometer Driving Schedule), NEDC (The New European Driving Cycle) and NREL (National Renewable Energy Laboratory Class-3). Simulations are conducted considering SOC (state of charge) of battery, power demand and speed profile.

Keywords

• Drive cycle
• Electric Vehicle
• MATLAB/Simulink
• Modeling

References

1. Amjad, S., Neelakrishnan, S. and Rudramoorthy, R. (2010). Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles. Renewable and Sustainable Energy Reviews, 14(3), pp.1104-1110.
2. Burke, A. (2007). Batteries and Ultracapacitors for Electric, Hybrid, and Fuel Cell Vehicles. Proceedings of the IEEE, 95(4), pp.806-820.
3. Castro, T., de Souza, T. and Silveira, J. (2017). Feasibility of Electric Vehicle: Electricity by Grid × Photovoltaic Energy. Renewable and Sustainable Energy Reviews, 69, pp.1077-1084.
4. Coleman, M., Chi Kwan Lee, Chunbo Zhu and Hurley, W., (2007). State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries. IEEE Transactions on Industrial Electronics, 54(5), pp.2550-2557.
5. Ehsani, M. (2013). Electric, hybrid, and fuel cell vehicles, introduction. In Transportation technologies for sustainability (pp. 492–493). Springer New York,
6. EPA (1978). United States Environmental Protection Agency Federal Test Procedure, LA-4 cycle (CFR 40, 86, App.I)
7. Hegazy, S., Rahnejat, H., & Hussain, K. (1999). Multi-body dynamics in fullvehicle handling analysis. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 213(1), 19–31.
8. Heywood JB. (1988). Internal Combustion Engine Fundamentals. McGraw-Hill Education.

9. Hota, A., Juvvanapudi, M. and Bajpai, P. (2014). Issues and solution approaches in PHEV integration to smart grid. Renewable and Sustainable Energy Reviews, 30, pp.217-229.
10. Larminie, J. and Lowry, J. (2012). Electric vehicle technology explained, second edition. 2nd ed. Wiley.
11. Lekshmi, S. and Lal Priya, P.S. (2019). Mathematical modeling of Electric vehicles - A survey. Control Engineering Practice, 92, p.104138.
12. Matsuo, I., Miyamoto, T., and Maeda, H., (2000). The Nissan Hybrid Vehicle. SAE Technical Paper 2000-01-1568.
13. NREL DriveCAT - Chassis Dynamometer Drive Cycles. (2019). National Renewable Energy Laboratory.
14. Peng, M., Liu, L. and Jiang, C. (2012). A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems. Renewable and Sustainable Energy Reviews, 16(3), pp.1508-1515.
15. Schaltz, E. (2011). Electrical Vehicle Design and Modeling. Electric Vehicles - Modelling and Simulations. InTech Open.
16. Shareef, H., Islam, M. and Mohamed, A. (2016). A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles. Renewable and Sustainable Energy Reviews, 64, pp.403-420.
17. Suh, I.-S., Hwang, K., Lee, M., & Kim, J. (2013). In-wheel motor application in a 4wd electric vehicle with foldable body concept. In 2013 International electric machines & drives conference. IEEE, Chicago, IL, pp. 1235-1240,
18. Tie, S. and Tan, C. (2013). A review of energy sources and energy management system in electric vehicles. Renewable and Sustainable Energy Reviews, 20, pp.82-102.
19. United Nations Regulations (2013). E/ECE/324/Rev.2/Add.100/Rev.3−E/ECE/TRANS/505/Rev.2/ Add.100 /Rev.3